Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/mixpanel/ai-pluginsnpx agentmods add skills/mixpanel/ai-plugins/manage-boardsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/mixpanel/ai-plugins/manage-boards)<a href="https://agentmods.dev/skills/mixpanel/ai-plugins/manage-boards"><img src="https://agentmods.dev/badge/skills/mixpanel/ai-plugins/manage-boards.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00193 | $0.01677 |
| Opus 5 | $0.00097 | $0.00839 |
| Sonnet 5 | $0.00039 | $0.00335 |
| Haiku 4.5 | $0.00019 | $0.00168 |
Grade A, and why
manage-boards scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 136 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Manage Boards
Engine required — resolve an engine per
ENGINE.md: one named in the conversation or loaded instructions is mandatory (not set up → offer/mixpanel:installfor it); otherwise use the Mixpanel MCP server, or offer/mixpanel:installif it's unavailable.
Top-level router: validate project → route command → handle return.
This skill uses the resolved Mixpanel engine only. No other connectors are required or referenced.
Execution Philosophy
Silent execution. Do not narrate steps, announce phases, or explain what you are about to do. Run the work, process results, present only final output. The user sees:
- Command menu (when needed)
- Confirmation prompts before destructive operations (delete, bulk cleanup)
- Progress indicators during batch operations
- Error messages
- Final output
Nothing else. No "Starting X...", no "I'll now fetch Y...", no "Let me analyze Z...". Just do the work and show the result.
Global Rules
- Silent execution — see the Execution Philosophy section above.
- Project ID immutable. All work uses the confirmed
project_idunless explicitly cross-project (template command). - Surface MCP failures explicitly. Never silently skip.
- Confirm before destructive ops. Always preview + explicit user confirmation before: deleting a dashboard, bulk cleanup, or overwriting dashboard content.
- 'exit' always valid. Stop, discard uncommitted, return to menu.
- No per-command "what next" menus. Commands return control here. The router shows the menu.
- Cross-project operations. The template command is the only one that works across projects. It validates both source and target project IDs and reconstructs the board in the target project (see
commands/template-dashboard.md). - Validate every write before reporting success. After any operation that mutates a board — create, update, duplicate, or a template rebuild — re-read the affected board including its full layout and confirm the result matches intent (expected row count, report/text cell counts, title/description). If the readback diverges, do NOT report
✅— surface what landed vs. what was requested. Layout cells use opaque server-generated IDs, so a write can partially succeed silently; the readback is the only reliable confirmation. Refreshdashboard_layout_cachefrom this readback. - Fetching the dashboard set. Default to the sortable entity-search capability when listing dashboards — it returns richer metadata and supports sorting. Fall back to the plain dashboard-list capability only if search is unavailable. Cache the result in
dashboard_list_cacheand reuse it across commands rather than re-fetching. - Shared constraints. Layout limits, the text-card HTML whitelist, and other API gotchas live once in
references/mcp-tool-reference.md. Command files point to it by name rather than restating.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- commands/cleanup-dashboards.md 8.1 KB
- commands/create-dashboard.md 3.0 KB
- commands/dashboard-inventory.md 2.5 KB
- commands/duplicate-dashboard.md 2.0 KB
- commands/template-dashboard.md 6.8 KB
- commands/update-dashboard.md 4.3 KB
- references/mcp-tool-reference.md 1.8 KB
- scripts/dashboard_utils.py 4.5 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 136 lines · 193 tokens per session scan A a0d9c79d2fa4
manage-boards is a skill published in the GitHub repository mixpanel/ai-plugins (15 stars, last pushed 4d ago), licensed Apache-2.0. It adds 193 tokens to every session and 1,677 once invoked, about $0.0010 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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